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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Learnable Bernoulli Dropout for Bayesian Deep Learning AISTATS 2020
Quantum Probabilistic Models Using Feynman Diagram Rules for Better Understanding the Information Diffusion Dynamics in Online Social Networks AAAI 2020
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning AISTATS 2020
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation NIPS 2020
Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis IJCAI 2020
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels NIPS 2020
Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks AAAI 2020
Quantile Propagation for Wasserstein-Approximate Gaussian Processes NIPS 2020
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts NIPS 2020
Projected Stein Variational Gradient Descent NIPS 2020
Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters NIPS 2020
Bayesian Reinforcement Learning via Deep, Sparse Sampling AISTATS 2020
Generalised Bayesian Filtering via Sequential Monte Carlo NIPS 2020
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach NIPS 2020
Reconsidering Generative Objectives For Counterfactual Reasoning NIPS 2020
Meta-Learning PAC-Bayes Priors in Model Averaging AAAI 2020
Non-Topical Coherence in Social Talk: A Call for Dialogue Model Enrichment ACL 2020
Bayesian Adversarial Human Motion Synthesis CVPR 2020
Causal Inference using Gaussian Processes with Structured Latent Confounders ICML 2020
Scalable Uncertainty for Computer Vision With Functional Variational Inference CVPR 2020
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference EMNLP 2020
Event-Driven Continuous Time Bayesian Networks AAAI 2020
Modulating Surrogates for Bayesian Optimization ICML 2020
A Multi-Hypothesis Approach to Color Constancy CVPR 2020
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks ICML 2020